Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1804.07779.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T14:22:35.603253Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T10:36:30.334065Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation b9c19338-edf5-4f07-ac4a-6201a4b751d5 · inbound
Few-Shot Neuro-Symbolic Imitation Learning for Long-Horizon Planning and Acting cites this paper.
Few-Shot Neuro-Symbolic Imitation Learning for Long-Horizon Planning and Acting PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:22:35.603253Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c1a6ff3-73ba-479a-bc32-cacaa201bfb8 · inbound
Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles cites this paper.
Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T22:49:23.074619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 078afb0a-9628-4e6b-b4fb-391c1dc84a08 · inbound
Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles cites this paper.
Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T22:49:23.074619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.